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Anusha

Full Stack Engineer • Denver, Colorado, USA • a****************@gmail.com • +15*******161 • drivetube.ai/•••••

Professional Summary

Full Stack Engineer with 5+ years of experience delivering web applications using React.js, TypeScript, Python, and scalable backend services. Experienced building modular frontends, RESTful APIs, microservices, and database-driven systems (PostgreSQL, MySQL, MongoDB). Proven track record integrating AI-assisted workflows (OpenAI APIs, LangChain), improving performance and reducing operational effort through automation, CI/CD, containerization, and event-driven pipelines.

Technical Skills

Programming Languages: Python,JavaScript,TypeScript
Web Technologies: HTML,CSS
Frameworks and Libraries: React.js,Angular,Bootstrap,Django,Django REST Framework,FastAPI,Node.js,Microservices,RESTful APIs,LangChain
Databases: PostgreSQL,MySQL,MongoDB
Cloud and DevOps: AWS,EC2,Docker,Jenkins,CI,CD,AWS CodePipeline
Testing: Unit testing,Automation testing,Performance testing,Selenium,PyTest
Data and Analytics: Kafka,ETL
Tools and Methodologies: GitHub,Git,Postman,Agile,Scrum
APIs & Security: OAuth 2.0,JWT,API design and documentation
AI & ML Integration: OpenAI APIs,NLP,LLMs,Prompt engineering

Work Experience

Cigna
Software Engineer
Aug 2024 – Present
Worked on healthcare and insurance workflows, building backend services and AI-assisted tooling to support claims review and clinical/claims processing systems.
Tech Stack: JavaScript, React.js, Django, FastAPI, PostgreSQL, OpenAI APIs, LangChain, NLP, AWS, Kafka, Docker, Git, GitHub, CI, CD, Unit testing, Performance testing
  • Built scalable backend services and RESTful APIs using Django and FastAPI with PostgreSQL, increasing throughput for claims-related workflows by 30% and improving reliability for downstream applications.
  • Integrated React-based frontend features with secure APIs to translate product requirements into modular, reusable UI and service patterns used in customer and analyst workflows.
  • Designed and delivered an AI-assisted claim summarization pipeline using OpenAI APIs and LangChain; reduced analyst review time by ~2 hours per day for targeted review queues.
  • Implemented event-driven data pipelines with Kafka and FastAPI services to enable near-real-time data flow across microservices, improving system responsiveness for claim status updates.
  • Established CI/CD pipelines and containerized deployments using Docker, GitHub, and AWS, standardizing release validation and reducing deployment friction across teams.
  • Led performance testing and automation testing efforts for services and APIs, identifying bottlenecks and improving stability for high-throughput healthcare operations.
Liberty Mutual Insurance
Software Engineer
Apr 2021 – Jul 2023
Worked on insurance policy and claims systems, building backend APIs, data pipelines, and secure integrations to improve policy servicing and claims processing.
Tech Stack: Python, Django, Flask, Django REST Framework, MySQL, PostgreSQL, MongoDB, OAuth 2.0, JWT, Docker, Jenkins, Git, GitHub, CI, CD, AWS, EC2, ETL
  • Optimized backend services for policy and claims management using Python, Django and Flask, reducing API response latency by 120 ms and improving service reliability.
  • Designed and implemented scalable RESTful APIs integrating MySQL and PostgreSQL data flows, enabling more consistent access to customer and policy data across applications.
  • Improved ETL and data processing performance by tuning queries and pipelines for large datasets, increasing retrieval speed for reporting and operational use by 35%.
  • Implemented secure integrations using OAuth 2.0 and JWT to protect customer-facing endpoints and third-party service connections.
  • Containerized applications with Docker and automated deployments via Jenkins and AWS, improving release cadence and reducing manual deployment errors.
  • Collaborated with product, QA and engineering teams in Agile/Scrum to define microservices, document APIs, and deliver automated tests to support production quality.
Best Buy
Software Engineer
Aug 2019 – Apr 2021
Worked on retail e-commerce systems, delivering front-end features and backend integrations to improve customer experience, inventory, and order management.
Tech Stack: JavaScript, React.js, Angular, Bootstrap, RESTful APIs, Kafka, Selenium, PyTest, Postman, HTML, CSS, Agile, Scrum, Unit testing, Performance testing
  • Improved e-commerce performance by optimizing React pages and backend APIs, reducing page load time by 300 ms and enhancing customer experience across devices.
  • Developed user-facing inventory and order management features using React, Angular and RESTful APIs, delivering responsive and reusable UI components for store and online workflows.
  • Designed asynchronous processing with Kafka to address inventory synchronization delays, improving data consistency by 40% across distributed retail systems.
  • Implemented automated UI and integration tests with Selenium, PyTest and Postman to increase regression coverage and reduce production defects.
  • Collaborated with UX designers, QA and backend teams in Agile iterations to address accessibility, cross-browser compatibility and performance tuning.
  • Monitored and profiled front-end and API performance to identify bottlenecks and implement incremental improvements that reduced customer-facing errors and latency.

Education

Texas A&M University Kingsville
Master of Science in Computer Science • Texas, USA • Aug 2023 – May 2025

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